Zero-shot learning for image classification are widely studied in recent years. Most explorations [1]}, [2]} works on learning a joint embedding space between the images and the name/description of the category. Some other works explore taking the advantages of mid-level semantic representation [3]}, using the synthetic data [4]}, or leveraging additional unlabeled data from seen classes [5]}.
